About the company
Our client is an early-stage AI company.
The role
Raydar is recruiting for this role on behalf of our client. Design and ship software products built on large language models, working across the whole stack with a high degree of independence. Collaborate every day with non-engineering colleagues who act as product owners, and help set technical direction as one of the first engineers on the team.
What you'll do
- Own AI agent features from first prototype through production release.
- Maintain data and retrieval pipelines that give agents accurate, current information drawn from inconsistent sources.
- Partner daily with non-technical colleagues and turn their feedback into product improvements.
- Design and maintain evaluation frameworks that track and raise the quality of agent output.
- Build internal tools such as drafting interfaces, dashboards and alerting.
- Help define the technical roadmap and engineering practices as the team grows.
- Create new products and improve existing architecture across the platform.
Requirements
What we're looking for
- Engineering background in full-stack product development, applied AI/ML or a closely related area.
- Prior time at a well-regarded company or a degree from a highly ranked university.
- A record of delivering production applications that use language models and autonomous agent patterns.
- Daily, heavy use of AI coding assistants.
- Ability to work smoothly with non-technical teammates.
- Comfort with ambiguity and a strong sense of ownership.
- Willingness to be in the office most of the week, with some occasional travel.
Bonus points
- Interest in public sector or other regulated fields.
Benefits
Compensation and benefits
- Base salary: USD 100,000 to 200,000 per year
- Equity
- Bonuses
- Paid time off
- Health benefits
Location and work model
- San Francisco, CA, United States
- On-site, 5 to 6 days a week in the office
- Full-time
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
